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LangChainLangChainUnited States

Solutions Architect (Remote)

Designs and deploys scalable AI infrastructure and multi-agent systems for enterprise customers using Kubernetes, cloud platforms, and LangChain/LangGraph. Requires 7+ years customer-facing technical experience, strong infra and agent engineering skills.

170k – 190k
Remote7+ YOESolutions Architecture

About the role

Key Responsibilities

Infrastructure & Platform Engineering

  • Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security)
  • Enterprise integration patterns
  • Infrastructure as Code (Terraform, Helm)
  • Multi-region HA/DR strategies
  • CI/CD pipelines

Agent Engineering & Development

  • Design multi-agent systems using different patterns
  • Implement agent logic using modern frameworks (LangChain, LangGraph)
  • Design comprehensive evaluation frameworks
  • Optimize prompts with A/B testing
  • Guide deployment/operations

Customer Engagement & Assessment

  • Lead technical maturity assessments
  • Work directly with enterprise customers to understand requirements and present recommendations
  • Partner with Engagement Managers and Product/Engineering teams

What We're Looking For

Required Experience

  • 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer

Infrastructure & Platform

  • 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
  • Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
  • Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
  • Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
  • Experience designing high-availability and disaster recovery solutions
  • Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
  • Experience with CI/CD pipelines for infrastructure and applications

Agent Engineering & Development

  • 1+ years of experience building production AI/ML applications or agents
  • Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
  • Experience with state management patterns (short-term and long-term memory)
  • Experience designing and implementing evaluation frameworks for AI applications
  • Strong prompt engineering skills with experience in optimization and A/B testing
  • Experience with vector stores, RAG patterns, and knowledge organization
  • Experience with tool integration, API design, and error handling patterns
  • Strong Python and/or TypeScript development skills

Customer-Facing

  • Customer-facing experience with enterprise customers
  • Experience conducting technical assessments or infrastructure audits
  • Strong communication skills with ability to explain technical concepts to diverse audiences

Compensation

$170K to $190K base salary, plus variable compensation, equity, and benefits (medical, dental, vision, 401(k), flexible vacation).

Skills

KubernetesTerraformHelmAWSGCPAzureLangChainLangGraphPythonTypeScriptPrometheusGrafanaDatadogRAGGitOps

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